Enhancing Early Prediction of Gestational Diabetes Mellitus Through Data Augmentation and Feature Guidance: Model Development and Validation Study - Top-Institutions - MDSpire

Enhancing Early Prediction of Gestational Diabetes Mellitus Through Data Augmentation and Feature Guidance: Model Development and Validation Study

  • By

  • Xiekun Chen

  • Zhifa Jiang

  • Dong Su

  • Xiaoping Chen

  • Aiping Chen

  • Zhen Zhang

  • Huabin Wang

  • May 25, 2026

  • 0 min

Share

Top Institutions in Obgyn

Brief introduction explaining scope and methodology.

  • #1

    University Hospital
    University Hospital

    Jena, Germany

    Key Differentiators

    • Endocrinology
    • Obstetrics

  • #2

    Huizhou First Maternal and Child Health Hospital
    Huizhou First Maternal and Child Health Hospital

    Huizhou, China

    Key Differentiators

    • Maternal and Child Health

  • #3

    Diabetes Prevention Program
    Diabetes Prevention Program

    Various, USA

    Key Differentiators

    • Diabetes Research

  • #4

    Sichuan Provincial People’s Hospital
    Sichuan Provincial People’s Hospital

    Chengdu, China

    Key Differentiators

    • Endocrinology

Original Source(s)

Enhancing Early Prediction of Gestational Diabetes Mellitus Through Data Augmentation and Feature Guidance: Model Development and Validation Study

  • by Xiekun Chen, Zhifa Jiang, Dong Su, Xiaoping Chen, Aiping Chen, Zhen Zhang, Huabin Wang

  • May 25, 2026

Related Content

A Staff-Directed Electronic Medical Record Alert to Increase Chlamydia Screening: A Randomized Clinical Trial

Premenstrual syndrome, premenstrual dysphoric disorder, and coping strategies in women with menstrual migraine

T1DM Pregnancy Linked to Gum Inflammation

Pregnant patients with type 1 diabetes had higher bleeding-on-probing and plaque levels than healthy controls in a small pilot study, though most other periodontal measures did not differ significantly between groups.